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Video TrainingUdemy - Advanced Management - Data Driven Charismatic Leadership





Udemy - Advanced Management - Data Driven Charismatic Leadership
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 341 lectures (9h 38m) | Size: 8.15 GB
Advanced Management Skills Masterclass - Learn Charismatic Leadership Skills Based On Data Driven Case Studies



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Video TrainingUdemy - Build Database Driven Apps with SQL Server , C# , Python





Udemy - Build Database Driven Apps with  SQL Server , C# , Python
Last Update:
Duration: 5h29m | Video: .MP4, 1280x720 30 fps | Audio: AAC, 44.1 kHz, 2ch | Size: 1.8 GB
Genre: eLearning | Language: English



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Video TrainingUdemy - Vue with Test Driven Development





Udemy - Vue with Test Driven Development
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 61 lectures (12h 21m) | Size: 4.78 GB



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Video TrainingUdemy - Unit Testing and Test Driven Development in Python





Udemy - Unit Testing and Test Driven Development in Python
MP4 | Video: h264, 1280x720 | Audio: AAC, 44100 Hz
Language: English | Size: 789 MB | Duration: 2h 3m
What you'll learn



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Video TrainingBuilding Event driven Microservices with the Azure Cosmos DB Change Feed





Building Event driven Microservices with the Azure Cosmos DB Change Feed
Leonard Lobel | Duration: 2h 38m | Video: H264 1280x720 | Audio: AAC 48 kHz 2ch | 450 MB | Language: English
The Azure Cosmos DB change feed enables a wide range of possibilities for building large-scale, event-driven microservices. This course will teach you how to build these microservices using real-world e-commerce and IoT workloads.
Azure Cosmos DB exposes a change feed that makes it easy to build cloud-native, scalable, event-driven microservices. In this course, Building Event-driven Microservices with the Azure Cosmos DB Change Feed, you'll learn how to leverage the change feed, using real-world e-commerce and IoT workloads to demonstrate key concepts and design patterns. First, you'll explore the change feed itself, and its partitioned ordering guarantees. Next, you'll discover how to consume the change feed using both the Change Feed Processor Library and Azure Functions. Finally, you'll see practical demos that apply these concepts to achieve replication, denormalization, event notifications, materialized views, and data movement. By the end of this course, you'll know how to build an effective event-driven microservices architecture around Azure Cosmos DB.



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